<%@ page language="java" import="java.util.*" pageEncoding="utf-8"%>
<%@include file="/WEB-INF/views/common/taglib.jsp" %>
<!DOCTYPE html>
<html>
<head>
<title>CEMAP-高校就业管理分析平台-分析报表</title>
	<%@include file="/WEB-INF/views/common/commoncss.jsp" %>
	<meta name="viewport" content="user-scalable=no",width="device-width">
</head>
<style>
.chart{ min-height: 350px; }
.hy-chart{ min-height: 550px; }
.zz-chart{ min-height: 1550px; }
</style>
<body class="gray-bg top-navigation">
	<%@include file="/WEB-INF/views/font/top.jsp" %>
    
    <div class="wrapper wrapper-content  animated fadeInRight article">
        <div class="row">
            <div class="col-lg-10 col-lg-offset-1">
                <div class="ibox">
                    <div class="ibox-content">
                    
                    	<ol class="breadcrumb">
							<li><a href="#">首页</a></li>
							<li><a href="#">分析报表</a></li>
						</ol>
                        
                        <div class="text-center article-title">
                            <h1>
                                   分析报表
                            </h1>
                        </div>
                        
                        <!-- 学历人数 -->
						<div id="people-chart" class="chart"></div>
						
						<br/><br/><br/>
						<!-- 性别 -->
						<div id="sex-chart" class="chart"></div>

						<!-- 性别 -->
						<div id="xz-chart" class="chart"></div>
						
						<br/><br/><br/>
						<!-- 单位行业分布 -->
						<div id="hy-chart" class="hy-chart"></div>
						
						
						<br/><br/><br/>
						<!-- 单位行业分布 -->
						<div id="zx-chart" class="chart"></div>
						
						<br/><br/><br/>
						<!-- 单位行业分布 -->
						<div id="zz-chart" class="zz-chart"></div>
						
						<br/><br/><br/>
						<!-- 单位行业分布 -->
						<div id="sy-chart" class="zz-chart"></div>

                    </div>
                </div>
            </div>
        </div>

    </div>
    
    
    
    <%@include file="/WEB-INF/views/font/bottom.jsp" %>
    
	<!-- 全局js -->
	<%@include file="/WEB-INF/views/common/commonjs.jsp" %>
	
	
	
	
	<script type="text/javascript">
	var myPieChart = echarts.init(document.getElementById('people-chart'),'macarons');
	option = {
	    title : {
	        text: '毕业生人数比例',
	        subtext: '2017届毕业生总数 3350人 专科：700 本科：2350 研究生：300',
	        x:'center'
	    },
	    tooltip : {
	        trigger: 'item',
	        formatter: "{a} <br/>{b} : {c} ({d}%)"
	    },
	    legend: {
	        x : 'center',
	        y : 'bottom',
	        data:['专科','本科','研究生']
	    },
	    toolbox: {
	        show : true,
	        feature : {
	            mark : {show: true},
	            dataView : {show: true, readOnly: false},
	            magicType : {
	                show: true,
	                type: ['pie', 'funnel']
	            },
	            restore : {show: true},
	            saveAsImage : {show: true}
	        }
	    },
	    calculable : true,
	    series : [
	        {
	            name:'人数比例',
	            type:'pie',
	            radius : [20, 110],
	            center : ['25%', '50%'],
	            roseType : 'radius',
	            label: {
	                normal: {
	                    show: false
	                },
	                emphasis: {
	                    show: true
	                }
	            },
	            lableLine: {
	                normal: {
	                    show: false
	                },
	                emphasis: {
	                    show: true
	                }
	            },
	            data:[
	                {value:700, name:'专科'},
	                {value:2350, name:'本科'},
	                {value:300, name:'研究生'},
	            ]
	        },
	        {
	            name:'面积模式',
	            type:'pie',
	            radius : [30, 110],
	            center : ['75%', '50%'],
	            roseType : 'area',
	            data:[
	                {value:700, name:'专科'},
	                {value:2350, name:'本科'},
	                {value:300, name:'研究生'},
	            ]
	        }
	    ]
	};
	myPieChart.setOption(option);	
	
	
	//
	var sexChart = echarts.init(document.getElementById('sex-chart'),'shine');
	sexoption = {
	    title : {
	        text: '性别比例',
	        subtext: '总 4320 男：2720 女：1600',
	        x:'center'
	    },
	    tooltip : {
	        trigger: 'item',
	        formatter: "{a} <br/>{b} : {c} ({d}%)"
	    },
	    legend: {
	        orient: 'vertical',
	        left: 'left',
	        data: ['男','女']
	    },
	    series : [
	        {
	            name: '男女人数',
	            type: 'pie',
	            radius : '55%',
	            center: ['50%', '60%'],
	            data:[
	                {value:2720, name:'男'},
	                {value:1600, name:'女'},
	            ],
	            itemStyle: {
	                emphasis: {
	                    shadowBlur: 10,
	                    shadowOffsetX: 0,
	                    shadowColor: 'rgba(0, 0, 0, 0.5)'
	                }
	            }
	        }
	    ]
	};
	sexChart.setOption(sexoption);	
	
	//
	var xzChart = echarts.init(document.getElementById('xz-chart'),'shine');
	
	var data = [{
    value: 234,
	    name: '<4w'
	}, {
	    value: 423,
	    name: '4w-6w'
	}, {
	    value: 642,
	    name: '6w-8w'
	}, {
	    value: 233,
	    name: '8w-10w'
	}, {
	    value: 22,
	    name: '10-12w'
	}, {
	    value: 22,
	    name: '12-15w'
	}, {
	    value: 22,
	    name: '15-20w'
	}, {
	    value: 22,
	    name: '20-30w'
	}, {
	    value: 22,
	    name: '>30w'
	}];
	xzoption = {
	    backgroundColor: '#fff',
	    title: {
	        text: '年薪分布',
	        subtext: '2017届',
	        x: 'center',
	        y: 'center',
	        textStyle: {
	            fontWeight: 'normal',
	            fontSize: 16
	        }
	    },
	    tooltip: {
	        show: true,
	        trigger: 'item',
	        formatter: "{b}: {c} ({d}%)"
	    },
	    legend: {
	        orient: 'horizontal',
	        bottom: '0%',
	        data: ['<4w', '4w-6w', '6w-8w', '8w-10w', '10-12w','12-15w','15-20w','20-30w','>30w']
	    },
	    series: [{
	        type: 'pie',
	        selectedMode: 'single',
	        radius: ['25%', '58%'],
	        color: ['#86D560', '#AF89D6', '#59ADF3', '#FF999A', '#FFCC67'],
	
	        label: {
	            normal: {
	                position: 'inner',
	                formatter: '{d}%',
	
	                textStyle: {
	                    color: '#fff',
	                    fontWeight: 'bold',
	                    fontSize: 14
	                }
	            }
	        },
	        labelLine: {
	            normal: {
	                show: false
	            }
	        },
	        data: data
	    }, {
	        type: 'pie',
	        radius: ['58%', '83%'],
	        itemStyle: {
	            normal: {
	                color: '#F2F2F2'
	            },
	            emphasis: {
	                color: '#ADADAD'
	            }
	        },
	        label: {
	            normal: {
	                position: 'inner',
	                formatter: '{c}人',
	                textStyle: {
	                    color: '#777777',
	                    fontWeight: 'bold',
	                    fontSize: 14
	                }
	            }
	        },
	        data: data
	    }]
	};
	
	xzChart.setOption(xzoption);
	
	//行业
	var hyChart = echarts.init(document.getElementById('hy-chart'),'shine');
	//app.title = 'Top 10';
	hyoption = {
		title : {
	        text: '就业单位行业分布',
	        x:'center'
	    },
	    //color: ['#3398DB'],
	    tooltip: {
	        trigger: 'axis',
	        axisPointer: { // 坐标轴指示器，坐标轴触发有效
	            type: 'shadow' // 默认为直线，可选为：'line' | 'shadow'
	        }
	    },
	    grid: {
	        left: '3%',
	        right: '4%',
	        bottom: '3%',
	        containLabel: true
	    },
	    yAxis: [{
	        type: 'category',
	        data: ['金融业', '公共管理、社会保障和社会组织', '信息传输、软件和信息技术服务业', '教育', '科学研究和技术服务业', '文化、体育和娱乐业', '租赁和商务服务业',
	        '制造业', '交通运输、仓储和邮政业','房地产业','电力、热力、燃气及水生产和供应业','建筑业','批发和零售业','水利、环境和公共设施管理业','军队','卫生和社会工作','采矿业',
	        '农、林、牧、渔业','居民服务、修理和其他服务业','住宿和餐饮业'],
	        axisTick: {
	            alignWithLabel: true
	        }
	    }],
	    xAxis: [{
	        type: 'value'
	    }],
	    backgroundColor: '#ffffff',
	    series: [{
	        name: '就业人数',
	        type: 'bar',
	        data: [132,231,1223,12,234,23,135,231,312,123,12,31,3,123,123,1,23,312,3,12],
	        label: {
	            normal: {
	                show: true,
	                position: 'insideRight',
	                textStyle: {
	                    color: 'white' //color of value
	                }
	            }
	        },
	        itemStyle: {
	            normal: {
	                color: new echarts.graphic.LinearGradient(0, 0, 1, 0, [{
	                    offset: 0,
	                    color: 'lightBlue' // 0% 处的颜色
	                }, {
	                    offset: 1,
	                    color: '#3398DB' // 100% 处的颜色
	                }], false)
	            }
	        }
	    }]
	};	
	hyChart.setOption(hyoption);
	
	//薪资折线图
	var zxChart = echarts.init(document.getElementById('zx-chart'),'shine');
	zxoption = {
	    color: ['#ff3d3d', '#00a0e9', '#f603ff', '#00b419', '#5f52a0'],
	    tooltip: {
	        trigger: 'axis'
	    },
	    legend: {
	        x: 'left',
	        padding: [10, 20, 0, 20],
	        data: ['就业薪资分布'],
	        selected: {
	            '就业薪资分布': true,
	            
	        }
	    },
	    grid: {
	        left: '0',
	        right: '3%',
	        bottom: '3%',
	        top: '13%',
	        containLabel: true
	    },
	    xAxis: {
	        type: 'category',
	        boundaryGap: false,
	        splitLine: { //网格线
	            show: true,
	            lineStyle: {
	                color: ['#b1b1b1'],
	                type: 'dashed'
	            }
	        },
	        data: ['<4w', '4w-6w', '6w-8w', '8w-10w', '10-12w','12-15w','15-20w','20-30w','>30w']
	    },
	    yAxis: {
	        splitLine: { //网格线
	            show: true,
	            lineStyle: {
	                color: ['#b1b1b1'],
	                type: 'dashed'
	            }
	        }
	    },
	    series: [{
	        name: '就业薪资分布',
	        type: 'line',
	        data: ['200', '300', '500', '300', '280', '290', '38', '30', '20'],
	        label: {
	            normal: {
	                show: true,
	                position: 'top' //值显示
	            }
	        }
	    }]
	};
	zxChart.setOption(zxoption);
	
	//柱状
	var zzChart = echarts.init(document.getElementById('zz-chart'),'shine');
	zzoption = {
		title : {
	        text: '柱状图',
	    },
	    color: ['#3398DB'],
	    tooltip : {
	        trigger: 'axis',
	        axisPointer : {            // 坐标轴指示器，坐标轴触发有效
	            type : 'shadow'        // 默认为直线，可选为：'line' | 'shadow'
	        }
	    },
	    grid: {
	        left: '3%',
	        right: '4%',
	        bottom: '3%',
	        containLabel: true
	    },
	    xAxis : [
	        {
	            type : 'category',
	            data : ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun'],
	            axisTick: {
	                alignWithLabel: true
	            }
	        }
	    ],
	    yAxis : [
	        {
	            type : 'value'
	        }
	    ],
	    series : [
	        {
	            name:'直接访问',
	            type:'bar',
	            barWidth: '60%',
	            data:[10, 52, 200, 334, 390, 330, 220]
	        }
	    ]
	};

	zzChart.setOption(zzoption);
	
	//生源地
	var syChart = echarts.init(document.getElementById('sy-chart'),'shine');
	var data = [
	     {name: '海门', value: 9},
	     {name: '鄂尔多斯', value: 12},
	     {name: '招远', value: 12},
	     {name: '舟山', value: 12},
	     {name: '齐齐哈尔', value: 14},
	     {name: '盐城', value: 15},
	     {name: '赤峰', value: 16},
	     {name: '青岛', value: 18},
	     {name: '乳山', value: 18},
	     {name: '金昌', value: 19},
	     {name: '泉州', value: 21},
	     {name: '莱西', value: 21},
	     {name: '日照', value: 21},
	     {name: '胶南', value: 22},
	     {name: '南通', value: 23},
	     {name: '拉萨', value: 24},
	     {name: '云浮', value: 24},
	     {name: '梅州', value: 25},
	     {name: '文登', value: 25},
	     {name: '上海', value: 25},
	     {name: '攀枝花', value: 25},
	     {name: '威海', value: 25},
	     {name: '承德', value: 25},
	     {name: '厦门', value: 26},
	     {name: '汕尾', value: 26},
	     {name: '潮州', value: 26},
	     {name: '丹东', value: 27},
	     {name: '太仓', value: 27},
	     {name: '曲靖', value: 27},
	     {name: '烟台', value: 28},
	     {name: '福州', value: 29},
	     {name: '瓦房店', value: 30},
	     {name: '即墨', value: 30},
	     {name: '抚顺', value: 31},
	     {name: '玉溪', value: 31},
	     {name: '张家口', value: 31},
	     {name: '阳泉', value: 31},
	     {name: '莱州', value: 32},
	     {name: '湖州', value: 32},
	     {name: '汕头', value: 32},
	     {name: '昆山', value: 33},
	     {name: '宁波', value: 33},
	     {name: '湛江', value: 33},
	     {name: '揭阳', value: 34},
	     {name: '荣成', value: 34},
	     {name: '连云港', value: 35},
	     {name: '葫芦岛', value: 35},
	     {name: '常熟', value: 36},
	     {name: '东莞', value: 36},
	     {name: '河源', value: 36},
	     {name: '淮安', value: 36},
	     {name: '泰州', value: 36},
	     {name: '南宁', value: 37},
	     {name: '营口', value: 37},
	     {name: '惠州', value: 37},
	     {name: '江阴', value: 37},
	     {name: '蓬莱', value: 37},
	     {name: '韶关', value: 38},
	     {name: '嘉峪关', value: 38},
	     {name: '广州', value: 38},
	     {name: '延安', value: 38},
	     {name: '太原', value: 39},
	     {name: '清远', value: 39},
	     {name: '中山', value: 39},
	     {name: '昆明', value: 39},
	     {name: '寿光', value: 40},
	     {name: '盘锦', value: 40},
	     {name: '长治', value: 41},
	     {name: '深圳', value: 41},
	     {name: '珠海', value: 42},
	     {name: '宿迁', value: 43},
	     {name: '咸阳', value: 43},
	     {name: '铜川', value: 44},
	     {name: '平度', value: 44},
	     {name: '佛山', value: 44},
	     {name: '海口', value: 44},
	     {name: '江门', value: 45},
	     {name: '章丘', value: 45},
	     {name: '肇庆', value: 46},
	     {name: '大连', value: 47},
	     {name: '临汾', value: 47},
	     {name: '吴江', value: 47},
	     {name: '石嘴山', value: 49},
	     {name: '沈阳', value: 50},
	     {name: '苏州', value: 50},
	     {name: '茂名', value: 50},
	     {name: '嘉兴', value: 51},
	     {name: '长春', value: 51},
	     {name: '胶州', value: 52},
	     {name: '银川', value: 52},
	     {name: '张家港', value: 52},
	     {name: '三门峡', value: 53},
	     {name: '锦州', value: 54},
	     {name: '南昌', value: 54},
	     {name: '柳州', value: 54},
	     {name: '三亚', value: 54},
	     {name: '自贡', value: 56},
	     {name: '吉林', value: 56},
	     {name: '阳江', value: 57},
	     {name: '泸州', value: 57},
	     {name: '西宁', value: 57},
	     {name: '宜宾', value: 58},
	     {name: '呼和浩特', value: 58},
	     {name: '成都', value: 58},
	     {name: '大同', value: 58},
	     {name: '镇江', value: 59},
	     {name: '桂林', value: 59},
	     {name: '张家界', value: 59},
	     {name: '宜兴', value: 59},
	     {name: '北海', value: 60},
	     {name: '西安', value: 61},
	     {name: '金坛', value: 62},
	     {name: '东营', value: 62},
	     {name: '牡丹江', value: 63},
	     {name: '遵义', value: 63},
	     {name: '绍兴', value: 63},
	     {name: '扬州', value: 64},
	     {name: '常州', value: 64},
	     {name: '潍坊', value: 65},
	     {name: '重庆', value: 66},
	     {name: '台州', value: 67},
	     {name: '南京', value: 67},
	     {name: '滨州', value: 70},
	     {name: '贵阳', value: 71},
	     {name: '无锡', value: 71},
	     {name: '本溪', value: 71},
	     {name: '克拉玛依', value: 72},
	     {name: '渭南', value: 72},
	     {name: '马鞍山', value: 72},
	     {name: '宝鸡', value: 72},
	     {name: '焦作', value: 75},
	     {name: '句容', value: 75},
	     {name: '北京', value: 79},
	     {name: '徐州', value: 79},
	     {name: '衡水', value: 80},
	     {name: '包头', value: 80},
	     {name: '绵阳', value: 80},
	     {name: '乌鲁木齐', value: 84},
	     {name: '枣庄', value: 84},
	     {name: '杭州', value: 84},
	     {name: '淄博', value: 85},
	     {name: '鞍山', value: 86},
	     {name: '溧阳', value: 86},
	     {name: '库尔勒', value: 86},
	     {name: '安阳', value: 90},
	     {name: '开封', value: 90},
	     {name: '济南', value: 92},
	     {name: '德阳', value: 93},
	     {name: '温州', value: 95},
	     {name: '九江', value: 96},
	     {name: '邯郸', value: 98},
	     {name: '临安', value: 99},
	     {name: '兰州', value: 99},
	     {name: '沧州', value: 100},
	     {name: '临沂', value: 103},
	     {name: '南充', value: 104},
	     {name: '天津', value: 105},
	     {name: '富阳', value: 106},
	     {name: '泰安', value: 112},
	     {name: '诸暨', value: 112},
	     {name: '郑州', value: 113},
	     {name: '哈尔滨', value: 114},
	     {name: '聊城', value: 116},
	     {name: '芜湖', value: 117},
	     {name: '唐山', value: 119},
	     {name: '平顶山', value: 119},
	     {name: '邢台', value: 119},
	     {name: '德州', value: 120},
	     {name: '济宁', value: 120},
	     {name: '荆州', value: 127},
	     {name: '宜昌', value: 130},
	     {name: '义乌', value: 132},
	     {name: '丽水', value: 133},
	     {name: '洛阳', value: 134},
	     {name: '秦皇岛', value: 136},
	     {name: '株洲', value: 143},
	     {name: '石家庄', value: 147},
	     {name: '莱芜', value: 148},
	     {name: '常德', value: 152},
	     {name: '保定', value: 153},
	     {name: '湘潭', value: 154},
	     {name: '金华', value: 157},
	     {name: '岳阳', value: 169},
	     {name: '长沙', value: 175},
	     {name: '衢州', value: 177},
	     {name: '廊坊', value: 193},
	     {name: '菏泽', value: 194},
	     {name: '合肥', value: 229},
	     {name: '武汉', value: 273},
	     {name: '大庆', value: 279}
	];
	var geoCoordMap = {
	    '海门':[121.15,31.89],
	    '鄂尔多斯':[109.781327,39.608266],
	    '招远':[120.38,37.35],
	    '舟山':[122.207216,29.985295],
	    '齐齐哈尔':[123.97,47.33],
	    '盐城':[120.13,33.38],
	    '赤峰':[118.87,42.28],
	    '青岛':[120.33,36.07],
	    '乳山':[121.52,36.89],
	    '金昌':[102.188043,38.520089],
	    '泉州':[118.58,24.93],
	    '莱西':[120.53,36.86],
	    '日照':[119.46,35.42],
	    '胶南':[119.97,35.88],
	    '南通':[121.05,32.08],
	    '拉萨':[91.11,29.97],
	    '云浮':[112.02,22.93],
	    '梅州':[116.1,24.55],
	    '文登':[122.05,37.2],
	    '上海':[121.48,31.22],
	    '攀枝花':[101.718637,26.582347],
	    '威海':[122.1,37.5],
	    '承德':[117.93,40.97],
	    '厦门':[118.1,24.46],
	    '汕尾':[115.375279,22.786211],
	    '潮州':[116.63,23.68],
	    '丹东':[124.37,40.13],
	    '太仓':[121.1,31.45],
	    '曲靖':[103.79,25.51],
	    '烟台':[121.39,37.52],
	    '福州':[119.3,26.08],
	    '瓦房店':[121.979603,39.627114],
	    '即墨':[120.45,36.38],
	    '抚顺':[123.97,41.97],
	    '玉溪':[102.52,24.35],
	    '张家口':[114.87,40.82],
	    '阳泉':[113.57,37.85],
	    '莱州':[119.942327,37.177017],
	    '湖州':[120.1,30.86],
	    '汕头':[116.69,23.39],
	    '昆山':[120.95,31.39],
	    '宁波':[121.56,29.86],
	    '湛江':[110.359377,21.270708],
	    '揭阳':[116.35,23.55],
	    '荣成':[122.41,37.16],
	    '连云港':[119.16,34.59],
	    '葫芦岛':[120.836932,40.711052],
	    '常熟':[120.74,31.64],
	    '东莞':[113.75,23.04],
	    '河源':[114.68,23.73],
	    '淮安':[119.15,33.5],
	    '泰州':[119.9,32.49],
	    '南宁':[108.33,22.84],
	    '营口':[122.18,40.65],
	    '惠州':[114.4,23.09],
	    '江阴':[120.26,31.91],
	    '蓬莱':[120.75,37.8],
	    '韶关':[113.62,24.84],
	    '嘉峪关':[98.289152,39.77313],
	    '广州':[113.23,23.16],
	    '延安':[109.47,36.6],
	    '太原':[112.53,37.87],
	    '清远':[113.01,23.7],
	    '中山':[113.38,22.52],
	    '昆明':[102.73,25.04],
	    '寿光':[118.73,36.86],
	    '盘锦':[122.070714,41.119997],
	    '长治':[113.08,36.18],
	    '深圳':[114.07,22.62],
	    '珠海':[113.52,22.3],
	    '宿迁':[118.3,33.96],
	    '咸阳':[108.72,34.36],
	    '铜川':[109.11,35.09],
	    '平度':[119.97,36.77],
	    '佛山':[113.11,23.05],
	    '海口':[110.35,20.02],
	    '江门':[113.06,22.61],
	    '章丘':[117.53,36.72],
	    '肇庆':[112.44,23.05],
	    '大连':[121.62,38.92],
	    '临汾':[111.5,36.08],
	    '吴江':[120.63,31.16],
	    '石嘴山':[106.39,39.04],
	    '沈阳':[123.38,41.8],
	    '苏州':[120.62,31.32],
	    '茂名':[110.88,21.68],
	    '嘉兴':[120.76,30.77],
	    '长春':[125.35,43.88],
	    '胶州':[120.03336,36.264622],
	    '银川':[106.27,38.47],
	    '张家港':[120.555821,31.875428],
	    '三门峡':[111.19,34.76],
	    '锦州':[121.15,41.13],
	    '南昌':[115.89,28.68],
	    '柳州':[109.4,24.33],
	    '三亚':[109.511909,18.252847],
	    '自贡':[104.778442,29.33903],
	    '吉林':[126.57,43.87],
	    '阳江':[111.95,21.85],
	    '泸州':[105.39,28.91],
	    '西宁':[101.74,36.56],
	    '宜宾':[104.56,29.77],
	    '呼和浩特':[111.65,40.82],
	    '成都':[104.06,30.67],
	    '大同':[113.3,40.12],
	    '镇江':[119.44,32.2],
	    '桂林':[110.28,25.29],
	    '张家界':[110.479191,29.117096],
	    '宜兴':[119.82,31.36],
	    '北海':[109.12,21.49],
	    '西安':[108.95,34.27],
	    '金坛':[119.56,31.74],
	    '东营':[118.49,37.46],
	    '牡丹江':[129.58,44.6],
	    '遵义':[106.9,27.7],
	    '绍兴':[120.58,30.01],
	    '扬州':[119.42,32.39],
	    '常州':[119.95,31.79],
	    '潍坊':[119.1,36.62],
	    '重庆':[106.54,29.59],
	    '台州':[121.420757,28.656386],
	    '南京':[118.78,32.04],
	    '滨州':[118.03,37.36],
	    '贵阳':[106.71,26.57],
	    '无锡':[120.29,31.59],
	    '本溪':[123.73,41.3],
	    '克拉玛依':[84.77,45.59],
	    '渭南':[109.5,34.52],
	    '马鞍山':[118.48,31.56],
	    '宝鸡':[107.15,34.38],
	    '焦作':[113.21,35.24],
	    '句容':[119.16,31.95],
	    '北京':[116.46,39.92],
	    '徐州':[117.2,34.26],
	    '衡水':[115.72,37.72],
	    '包头':[110,40.58],
	    '绵阳':[104.73,31.48],
	    '乌鲁木齐':[87.68,43.77],
	    '枣庄':[117.57,34.86],
	    '杭州':[120.19,30.26],
	    '淄博':[118.05,36.78],
	    '鞍山':[122.85,41.12],
	    '溧阳':[119.48,31.43],
	    '库尔勒':[86.06,41.68],
	    '安阳':[114.35,36.1],
	    '开封':[114.35,34.79],
	    '济南':[117,36.65],
	    '德阳':[104.37,31.13],
	    '温州':[120.65,28.01],
	    '九江':[115.97,29.71],
	    '邯郸':[114.47,36.6],
	    '临安':[119.72,30.23],
	    '兰州':[103.73,36.03],
	    '沧州':[116.83,38.33],
	    '临沂':[118.35,35.05],
	    '南充':[106.110698,30.837793],
	    '天津':[117.2,39.13],
	    '富阳':[119.95,30.07],
	    '泰安':[117.13,36.18],
	    '诸暨':[120.23,29.71],
	    '郑州':[113.65,34.76],
	    '哈尔滨':[126.63,45.75],
	    '聊城':[115.97,36.45],
	    '芜湖':[118.38,31.33],
	    '唐山':[118.02,39.63],
	    '平顶山':[113.29,33.75],
	    '邢台':[114.48,37.05],
	    '德州':[116.29,37.45],
	    '济宁':[116.59,35.38],
	    '荆州':[112.239741,30.335165],
	    '宜昌':[111.3,30.7],
	    '义乌':[120.06,29.32],
	    '丽水':[119.92,28.45],
	    '洛阳':[112.44,34.7],
	    '秦皇岛':[119.57,39.95],
	    '株洲':[113.16,27.83],
	    '石家庄':[114.48,38.03],
	    '莱芜':[117.67,36.19],
	    '常德':[111.69,29.05],
	    '保定':[115.48,38.85],
	    '湘潭':[112.91,27.87],
	    '金华':[119.64,29.12],
	    '岳阳':[113.09,29.37],
	    '长沙':[113,28.21],
	    '衢州':[118.88,28.97],
	    '廊坊':[116.7,39.53],
	    '菏泽':[115.480656,35.23375],
	    '合肥':[117.27,31.86],
	    '武汉':[114.31,30.52],
	    '大庆':[125.03,46.58]
	};
	
	var convertData = function (data) {
	    var res = [];
	    for (var i = 0; i < data.length; i++) {
	        var geoCoord = geoCoordMap[data[i].name];
	        if (geoCoord) {
	            res.push({
	                name: data[i].name,
	                value: geoCoord.concat(data[i].value)
	            });
	        }
	    }
	    return res;
	};
	
	syoption = {
	    backgroundColor: '#404a59',
	    title: {
	        text: '生源地',
	        subtext: 'data from PM25.in',
	        sublink: 'http://www.pm25.in',
	        left: 'center',
	        textStyle: {
	            color: '#fff'
	        }
	    },
	    tooltip : {
	        trigger: 'item'
	    },
	    legend: {
	        orient: 'vertical',
	        y: 'bottom',
	        x:'right',
	        data:['pm2.5'],
	        textStyle: {
	            color: '#fff'
	        }
	    },
	    geo: {
	        map: 'china',
	        label: {
	            emphasis: {
	                show: false
	            }
	        },
	        roam: true,
	        itemStyle: {
	            normal: {
	                areaColor: '#323c48',
	                borderColor: '#111'
	            },
	            emphasis: {
	                areaColor: '#2a333d'
	            }
	        }
	    },
	    series : [
	        {
	            name: 'pm2.5',
	            type: 'scatter',
	            coordinateSystem: 'geo',
	            data: convertData(data),
	            symbolSize: function (val) {
	                return val[2] / 10;
	            },
	            label: {
	                normal: {
	                    formatter: '{b}',
	                    position: 'right',
	                    show: false
	                },
	                emphasis: {
	                    show: true
	                }
	            },
	            itemStyle: {
	                normal: {
	                    color: '#ddb926'
	                }
	            }
	        },
	        {
	            name: 'Top 5',
	            type: 'effectScatter',
	            coordinateSystem: 'geo',
	            data: convertData(data.sort(function (a, b) {
	                return b.value - a.value;
	            }).slice(0, 6)),
	            symbolSize: function (val) {
	                return val[2] / 10;
	            },
	            showEffectOn: 'render',
	            rippleEffect: {
	                brushType: 'stroke'
	            },
	            hoverAnimation: true,
	            label: {
	                normal: {
	                    formatter: '{b}',
	                    position: 'right',
	                    show: true
	                }
	            },
	            itemStyle: {
	                normal: {
	                    color: '#f4e925',
	                    shadowBlur: 10,
	                    shadowColor: '#333'
	                }
	            },
	            zlevel: 1
	        }
	    ]
	};
	syChart.setOption(syoption);
	
	</script>
	
</body>
</html>